{"id":"W1512669332","doi":"10.1007/11587514_15","title":"Induction Variable Analysis with Delayed Abstractions","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Compiler; Scalar (mathematics); Representation (politics); Abstraction; Variable (mathematics); Benchmark (surveying); Algorithm; Theoretical computer science; Programming language; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006464451,0.0004278155,0.0004874224,0.001845276,0.0003411023,0.0005076998,0.001921533,0.0003093072,0.00005005815],"category_scores_gemma":[0.00002430478,0.0003761831,0.0001224899,0.002096378,0.0003137449,0.0007717577,0.0004396381,0.0007776488,0.00002799751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003215075,"about_ca_system_score_gemma":0.0005038067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006952896,"about_ca_topic_score_gemma":0.0001222447,"domain_scores_codex":[0.996909,0.00002924166,0.0004671098,0.001327735,0.0007807262,0.000486229],"domain_scores_gemma":[0.997618,0.0001990621,0.0003704739,0.001288759,0.0003786964,0.0001450284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003785771,0.00002430291,0.00002004096,0.000004130834,0.00007168576,0.00001146077,0.000118608,0.8279788,0.00001416064,0.01008527,0.00002482389,0.1616428],"study_design_scores_gemma":[0.0001411217,0.0001507264,0.0001938413,0.00007764342,0.00008252555,0.00006531505,7.955753e-8,0.9718671,0.0003389653,0.02479224,0.001705233,0.0005851931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002258588,0.0001528323,0.9891284,0.0003911097,0.0003885239,0.0002222735,0.000003425177,0.0005351867,0.009155626],"genre_scores_gemma":[0.04221971,0.0000478775,0.9560548,0.0005093382,0.000300129,0.000008769797,0.0000135096,0.00002270827,0.0008231837],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1610577,"threshold_uncertainty_score":0.999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356062707629597,"score_gpt":0.2462067321659896,"score_spread":0.2326461050896937,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}